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The abstract submission deadline for the TopoInVis 2025 workshop is today!
🗓️ Deadline: June 14, 2025 AOE
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🔗 topoinvis-workshop.github.io
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2/
We benchmark popular tracking methods and show where they fail under sparse sampling.
🔍 More displacement
🔍 Missed mitosis
🔍 Tracking ambiguity
We also outline a framework for evaluating trackers, and we discuss what’s next for robust tracking in these settings.
📄 t.co/rAiTPCb8KX

1/ Most tracking methods assume high-frame-rate imaging, but that’s not always feasible:
⚠️ Photobleaching
⚠️ Phototoxicity
➡️ We propose a new dataset with long-term, sparsely sampled sequences, complete with ground-truth for ID, mitosis, and motion. [https://davislab.github.io/LFCT-dataset/]

🎉 Congratulations to Mina Gachloo for her first presentation at the CVMI Workshop @ #CVPR 👏
In this work, we dive into the challenges of low-frame-rate cell tracking, where deep learning meets sparse temporal data. 🧵
#CVPR2025 #CVMI #CellTracking #BioImaging #DeepLearning